Senior Healthcare Data Labeling Specialist

Senior Healthcare Data Labeling Specialist (AI Training) About The Role We're looking for experienced healthcare professionals to help shape the future of clinical AI. As a Senior Healthcare Data Labeling Specialist, you'll apply your domain knowledge to annotate and quality-review complex clinical datasets — directly influencing how AI systems understand and interpret real-world medical information. This is a fully remote, flexible contract role designed for clinicians, health informaticists, and healthcare data professionals who want to make a meaningful contribution to healthcare AI from wherever they work best. Type: Hourly ContractLocation: RemoteCommitment: Flexible hours What You'll Do Annotate complex clinical and electronic health record (EHR) data with precision and consistencyApply domain expertise to interpret and label nuanced medical terminology, diagnoses, procedures, and clinical narrativesPerform quality assurance reviews on annotated datasets to ensure accuracy and adherence to guidelinesIdentify edge cases, ambiguities, and errors in clinical data and flag them with clear, structured feedbackFollow detailed annotation guidelines while exercising sound clinical judgmentContribute to improving the overall quality and performance of healthcare AI models Who You Are Background in healthcare, clinical informatics, nursing, medicine, health information management, or a related fieldFamiliar with EHR systems and clinical documentation practicesStrong attention to detail with a commitment to accuracy in every taskComfortable working independently and managing your own workflowAble to follow structured annotation guidelines consistently across large datasetsExperience with medical coding (ICD, CPT, SNOMED) is a plusPrior data labeling or annotation experience is a plus, but not required Nice to Have Experience with NLP, clinical NLP, or health informatics toolsFamiliarity with HIPAA and healthcare data privacy standardsBackground in clinical research, medical records, or health data quality Why Join Us Work on meaningful AI projects that improve how technology understands clinical dataFully remote and asynchronous — work on your own scheduleFreelance flexibility: autonomy, variety, and the ability to scale your hoursCollaborate with a global team advancing cutting-edge healthcare AIPotential for ongoing work and contract extension based on performance